| 2026 | AAAI | Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder. | Shangshang Yang, Xuewen Duan, Xiaoshan Yu, Ziwen Wang, Haiping Ma, Xingyi Zhang |
| 2026 | AAAI | PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing. | Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang |
| 2026 | KDD | Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective. | Ziwen Wang, Shangshang Yang, Xiaoshan Yu, Haiping Ma, Xingyi Zhang |
| 2025 | AAAI | Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing. | Changqian Wang, Shangshang Yang, Siyu Song, Ziwen Wang, Haiping Ma, Xingyi Zhang, Bo Jin |
| 2025 | CEC | Surrogate Models are not Necessary for Black-Box Expensive Optimization. | Hongxiang Geng, Ye Tian, Shangshang Yang, Xingyi Zhang, Cheng He |
| 2025 | CEC | An Adaptive Multi-Granular Pareto-Optimal Subspace Learning Algorithm for Sparse Large-Scale Multi-Objective Optimization. | Chengze Sun, Ye Tian, Shuai Shao, Shangshang Yang, Xingyi Zhang |
| 2025 | IJCAI | Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks. | Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian |
| 2025 | IJCNN | Cascade Adversarial Attack Search. | Ziwen Wang, Daoli Shen, Xiangkun Sun, Shangshang Yang, Xiaoshan Yu, Ye Tian |
| 2025 | KDD | Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective. | Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang |
| 2025 | KDD | Learning Patterns-Guided Data Generation for Knowledge Tracing. | Haiping Ma, Yi Yin, Ziwen Wang, Changqian Wang, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang |
| 2025 | SIGIR | LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization. | Xiaoshan Yu, Shangshang Yang, Ziwen Wang, Siyu Song, Haiping Ma, Zhiguang Cao, Xingyi Zhang |
| 2025 | SIGIR | Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing. | Haiping Ma, Weiyuan Zhou, Xiaoshan Yu, Changqian Wang, Shangshang Yang, Limiao Zhang, Xingyi Zhang |
| 2024 | AAAI | Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach. | Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang |
| 2024 | CEC | Multi-Agent Reinforcement Learning with Asymmetric Representation Assisted by Multi-Objective Evolutionary Algorithms. | Ye Tian, Weixin Wang, Shangshang Yang, Panpan Zhang, Xingyi Zhang |
| 2024 | KDD | RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. | Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang |
| 2024 | WWW | HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. | Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu |
| 2023 | ICCV | EQ-Net: Elastic Quantization Neural Networks. | Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang |
| 2022 | CIKM | A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. | Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao |
| 2019 | CEC | A Closed Itemset Property based Multi-objective Evolutionary Approach for Mining Frequent and High Utility Itemsets. | Heng Cao, Shangshang Yang, Qingren Wang, Qijun Wang, Lei Zhang |
| 2019 | CEC | Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection. | Ye Tian, Shangshang Yang, Xingyi Zhang, Yaochu Jin |